908 search results - page 97 / 182 » Stochastic Finite Learning |
145
Voted
APIN
2002
15 years 3 months ago
2002
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
139
Voted
CONCUR
2006
Springer
15 years 5 months ago
2006
Springer
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
186
Voted
JMLR
2010
14 years 10 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
130
Voted
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
131
Voted
CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...